Update github README.md with more detail and links to docs (#1189)

Update and reorganize the readme with a lot more explanation of Donkeycar and links to key parts of the documentation.  It also includes some helpful links out to resources that will help a new user be prepared for Donkeycar.

README.md

@@ -15,9 +15,7 @@
 
 ![Discord](https://img.shields.io/discord/662098530411741184.svg?logo=discord&colorB=7289DA)
 
-Donkeycar is minimalist and modular self driving library for Python. It is
-developed for hobbyists and students with a focus on allowing fast experimentation and easy
-community contributions.
+Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions.  It is being actively used at the high school and university level for learning and research.  It offers a [rich graphical interface](https://docs.donkeycar.com/utility/ui/) and includes a [simulator](https://docs.donkeycar.com/guide/deep_learning/simulator/) so you can experiment with self-driving even before you build a robot.
 
 #### Quick Links
 * [Donkeycar Updates & Examples](http://donkeycar.com)
@@ -26,20 +24,31 @@ community contributions.
 
 ![donkeycar](https://github.com/autorope/donkeydocs/blob/master/docs/assets/build_hardware/donkey2.png)
 
-#### Use Donkey if you want to:
-* Make an RC car drive its self.
-* Compete in self driving races like [DIY Robocars](http://diyrobocars.com)
-* Experiment with autopilots, mapping computer vision and neural networks.
-* Log sensor data. (images, user inputs, sensor readings)
-* Drive your car via a web or game controller or RC controller.
-* Leverage community contributed driving data.
-* Use existing CAD models for design upgrades.
-
-### Get driving.
-After building a Donkey2 you can turn on your car and go to http://localhost:8887 to drive.
-
-### Modify your cars behavior.
-The donkey car is controlled by running a sequence of events
+### Use Donkeycar if you want to:
+* Build a robot and teach it to drive itself.
+* Experiment with [autopilots](https://docs.donkeycar.com/guide/train_autopilot/), gps, computer vision and neural networks.
+* Compete in self driving races like [DIY Robocars](http://diyrobocars.com), including [online simulator races](https://docs.donkeycar.com/guide/deep_learning/virtual_race_league/) against competitors from around the world.
+* Participate in a vibrant online community learning cutting edge techology and having fun doing it.
+
+### What do you need to know before starting? (TL;DR nothing)
+Donkeycar is designed to be the 'Hello World' of automomous driving; it is simple yet flexible and powerful.  No specific prequisite knowledge is required, but it helps if you have some knowledge of:
+- [Python](https://docs.python.org/3.11/) programming.  You do not have to do any programming to use Donkeycar.  The file that you edit to configure your car, `myconfig.py`, is a Python file.  You mostly just uncomment the sections you want to change and edit them; you can avoid common mistakes if you know how Python [comments](https://www.w3schools.com/python/python_comments.asp) and [indentation](https://www.w3schools.com/python/python_syntax.asp) works.
+- Raspberry Pi.  The Raspberry Pi is the preferred on-board computer for a Donkeycar.  It is helpful to have setup and used a Raspberry Pi, but it is not necessary.  The Donkeycar documentation describes how to install the software on a RaspberryPi OS, but the specifics of how to install the RaspberryPi OS using [Raspberry Pi Imager](https://www.raspberrypi.com/software/) and how to configure the Raspberry Pi using [raspi-config](https://www.raspberrypi.com/documentation/computers/configuration.html) is left to the Raspberry Pi documentation, which is extensive and quite good. I would recommend setting up your Raspberry Pi using the Raspberry Pi documentation and then play with it a little; use the browser to visit websites and watch YouTube videos, like this one taken at the [very first outdoor race](https://youtu.be/tjWmrCIKgnE) for a Donkeycar.  Use a text editor to write and save a file.  Open a terminal and learn how to navigate the file system (see below). If you are comfortable with the Raspberry Pi then you won't have to learn it and Donkeycar at the same time.
+- The Linux [command line shell](https://magpi.raspberrypi.com/articles/terminal-help).  The command line shell is also often called the terminal.  You will type commands into the terminal to install and start the Donkeycar software.  The Donkeycar documentation describes how this works.  It is also helpful to know how navigate the file system and how to list, copy and delete files and directories/folders. You may also access your car [remotely](https://www.raspberrypi.com/documentation/computers/remote-access.html); so you will want to know how to enable and connect WIFI and how to enable and start an [SSH](https://www.raspberrypi.com/documentation/computers/remote-access.html#ssh) terminal or [VNC](https://www.raspberrypi.com/documentation/computers/remote-access.html#vnc) session from your host computer to get a command line on your car.
+
+## Get driving.
+After [building a Donkeycar](https://docs.donkeycar.com/guide/build_hardware/) and [installing](https://docs.donkeycar.com/guide/install_software/) the Donkeycar software you can choose your autopilot [template](https://docs.donkeycar.com/guide/create_application/) and [calibrate](https://docs.donkeycar.com/guide/calibrate/) your car and [get driving](https://docs.donkeycar.com/guide/get_driving/)!
+
+## Modify your car's behavior.
+Donkeycar includes a number of pre-built [templates](https://docs.donkeycar.com/guide/create_application/) that make it easy to get started by just changing configuration. The pre-built templates are all you may ever need, but if you want to go farther you can change a template or make your own. A Donkeycar template is organized as a pipeline of software [parts](https://docs.donkeycar.com/parts/about/) that run in order on each pass through the vehicle loop, reading inputs and writing outputs to the vehicle's software memory as they run.  A typical car has a parts that:
+- Get images from a camera. Donkeycar supports lots of different kinds of [cameras](https://docs.donkeycar.com/parts/cameras/), including 3D cameras and [lidar](https://docs.donkeycar.com/parts/lidar/).
+- Get position readings from a GPS receiver.
+- Get steering and throttle inputs from a [game controller](https://docs.donkeycar.com/parts/controllers/) or RC controller.  Donkeycar support PS3, PS4, XBox, WiiU, Nimbus and Logitech Bluetooth game controllers and any game controller that works with RaspberryPi.  Donkeycar also implements a WebUI that allows any browser compatible game controller to be connected and also offers an onscreen touch controller that works with phones.
+- Control the car's drivetrain [motors](https://docs.donkeycar.com/parts/actuators/) for acceleration and steering. Donkeycar supports various drivetrains including the ESC/Steering-servo configuration that is common to most RC cars and Differential Drive configurations.
+- Save telemetry [data](https://docs.donkeycar.com/parts/stores/) such as camera images, steering and throttle inputs, lidar data, etc.
+- Drive the car on autopilot.  Donkey supports three kinds of [autopilots](https://docs.donkeycar.com/guide/train_autopilot/); a [deep-learning](https://docs.donkeycar.com/guide/deep_learning/train_autopilot/) autopilot, a [gps autopilot](https://docs.donkeycar.com/guide/path_follow/path_follow/) and a [computer vision](https://docs.donkeycar.com/guide/computer_vision/computer_vision/) autopilot.  The Deep Learning autopilot supports Tensorflow, Tensorflow Lite, and Pytorch and many model [architectures](https://docs.donkeycar.com/parts/keras/).
+
+If there isn't a Donkeycar part that does what you want then write your own [part](https://docs.donkeycar.com/parts/about/#parts) and add it to a vehicle [template](https://docs.donkeycar.com/parts/about/).
 
 ```python
 #Define a vehicle to take and record pictures 10 times per second.